Design, architect, and build AI/ML Solutions using the Snowflake platform.
Support workshop and design thinking sessions to deliver discovery sessions with customer stakeholders to specify advanced use-cases and solutions.
Work closely with Data Scientists, Machine Learning Engineers, and AI Engineers to understand the requirements of proposed solutions and applications.
Design, train and build AI/ML models for use within customer solutions and use-cases.
Provide technical expertise and enablement on all aspects of Snowflake in relation to the AI/ML suite of features to customer teams as part of solution development/delivery.
Stay up to date with the latest advancements in AI/ML.
Provide thought leadership on AI/ML in Snowflake through external content such as webinars, event presentations, and blog posts.
Requirements
Degree in Data Science or AI/ML required; Graduate degree preferred
Strong understanding of the model life-cycle; model development, model training, and MLOps/observability.
Experience with GenerativeAI, LLMs, and Vector Databases.
Strong understanding of the GenerativeAI landscape, its use, and application.
Strong understanding of Large Language Models (LLMs) and the different architectures that are appropriate for each use-case.
Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
Hands-on scripting experience with Python using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Benefits
Health insurance
Flexible work arrangements
Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML Solutionsmodel life-cyclemodel developmentmodel trainingMLOpsGenerativeAILarge Language ModelsPythonPandasPyTorch
Soft skills
thought leadershippresentation skillscommunication skillscollaborationcustomer engagement